Antenna Season Report Notebook¶

Josh Dillon, Last Revised January 2022

This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.

In [1]:
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
In [2]:
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
In [3]:
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "78"
csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
In [4]:
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))

Antenna 78 Report

In [5]:
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
In [6]:
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 56 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_
Found 54 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
In [7]:
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'

Load relevant info from summary CSVs¶

In [8]:
this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
            antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
        else:
            antnum = int(row['Ant'])
        if antnum != int(antenna):
            continue
        
        if np.issubdtype(type(row['Node']), np.integer):
            row['Node'] = str(row['Node'])
        if type(row['Node']) == str and row['Node'].isnumeric():
            row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break
In [9]:
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])

Table 1: Per-Night RTP Summary Info For This Atenna¶

This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.

In [10]:
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))

Antenna 78, Node N06:

Out[10]:
JDs A Priori Status Auto Metrics Flags Dead Fraction in Ant Metrics (Jee) Dead Fraction in Ant Metrics (Jnn) Crossed Fraction in Ant Metrics Flag Fraction Before Redcal Flagged By Redcal chi^2 Fraction ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score Average Dead Ant Metric (Jee) Average Dead Ant Metric (Jnn) Average Crossed Ant Metric Median chi^2 Per Antenna (Jee) Median chi^2 Per Antenna (Jnn)
2459871 not_connected 100.00% 0.00% 0.00% 0.00% - - 40.236402 0.514694 16.973853 22.787346 10.516640 3.963673 0.104362 0.988490 0.4945 0.6476 0.3696 nan nan
2459870 not_connected 100.00% 0.00% 0.00% 0.00% - - 64.253286 1.364784 12.507944 16.524392 7.179657 2.724127 -0.433664 2.168139 0.4944 0.6542 0.3735 nan nan
2459869 not_connected 100.00% 0.00% 0.00% 0.00% - - 51.842239 1.176483 12.287622 16.094443 8.969338 3.566012 1.700402 2.591477 0.5117 0.6750 0.3692 nan nan
2459868 not_connected 100.00% 0.00% 0.00% 0.00% - - 59.970547 1.523328 19.131307 25.796779 6.244468 2.386340 2.354195 -0.289606 0.4811 0.6492 0.3814 nan nan
2459867 not_connected 100.00% 100.00% 100.00% 0.00% - - nan nan inf inf nan nan nan nan nan nan nan nan nan
2459866 not_connected 100.00% 0.00% 0.00% 0.00% - - 47.958885 0.820108 14.359641 18.637322 5.393010 0.658091 0.328302 -0.973881 0.4940 0.6546 0.3734 nan nan
2459865 not_connected 100.00% 0.00% 0.00% 0.00% - - 53.474007 2.021570 19.454424 24.712108 10.314455 2.634704 7.687408 4.152159 0.5305 0.6773 0.3478 nan nan
2459864 not_connected 100.00% 0.00% 0.00% 0.00% - - 66.723449 1.178679 10.125732 12.207980 5.286170 1.727024 0.473369 -0.024778 0.4951 0.6533 0.3928 nan nan
2459863 not_connected 100.00% 0.00% 0.00% 0.00% - - 43.873754 -0.832625 -0.277321 0.097401 2.844861 -1.249903 0.650343 -0.734166 0.4866 0.6387 0.3769 nan nan
2459862 not_connected 100.00% 0.00% 0.00% 0.00% - - 44.982962 -0.106306 12.763805 14.692284 6.548921 2.694833 0.440771 -0.513407 0.4778 0.6758 0.4171 nan nan
2459861 not_connected 100.00% 0.00% 0.00% 0.00% - - 32.848785 -1.033042 -1.137934 -1.182018 0.698423 -1.747924 -0.616144 -0.860206 0.5016 0.6556 0.3888 nan nan
2459860 not_connected 100.00% 100.00% 100.00% 0.00% - - nan nan inf inf nan nan nan nan nan nan nan nan nan
2459859 not_connected 100.00% 0.00% 0.00% 0.00% - - 28.412730 -1.018334 -1.059899 -1.154176 0.441769 -1.377441 -0.058704 -0.223161 0.5179 0.6569 0.3792 nan nan
2459858 not_connected 100.00% 13.43% 0.00% 0.00% 100.00% 0.00% 31.701631 -1.254080 -1.528550 -1.549288 0.705898 -1.394642 -0.592421 -0.520262 0.5209 0.6618 0.3872 2.597246 2.345898
2459857 not_connected 0.00% 100.00% 100.00% 0.00% - - -0.370914 -0.466261 2.826262 2.773593 0.464574 0.189710 -1.088132 -0.414030 0.0416 0.0449 0.0094 nan nan
2459856 not_connected 100.00% 11.43% 0.00% 0.00% 100.00% 0.00% 42.756287 0.203658 9.163743 10.617774 3.519773 0.944081 -0.822421 0.221419 0.5124 0.6758 0.3865 3.635088 2.586450
2459855 not_connected 100.00% 28.35% 0.00% 0.00% 100.00% 0.00% 50.691512 0.312469 10.401613 11.967162 1.388470 0.184292 -0.517856 -0.486014 0.4798 0.6845 0.4460 2.585927 2.551360
2459854 not_connected 100.00% 11.64% 0.00% 0.00% 100.00% 0.00% 52.528935 0.132364 9.207117 10.440514 1.445285 0.028097 -0.584081 0.136106 0.5283 0.7221 0.4362 2.569241 2.325108
2459853 not_connected 100.00% 11.80% 0.00% 0.00% 100.00% 0.00% 36.821053 0.124927 11.672415 13.421777 4.182604 0.823653 -0.114445 -0.143664 0.5350 0.6592 0.3886 2.904253 2.830357
2459852 not_connected 100.00% 0.54% 0.00% 0.00% 100.00% 0.00% 21.127065 2.182967 10.547545 13.337223 8.089456 5.751043 8.489643 9.991319 0.6887 0.8101 0.2612 5.896164 3.872362
2459851 not_connected 100.00% 7.52% 0.00% 0.00% 100.00% 0.00% 32.101732 3.290501 13.156302 14.152944 10.881534 13.469416 4.689941 11.691461 0.5758 0.7214 0.3357 2.879976 2.611413
2459850 not_connected 100.00% 12.85% 0.00% 0.00% 100.00% 0.00% 37.566240 0.607696 11.135638 12.455829 5.900964 3.279892 -0.295260 5.914976 0.5705 0.7359 0.3565 2.543148 2.654551
2459849 not_connected 100.00% 8.09% 0.00% 0.00% 100.00% 0.00% 41.600329 0.774444 22.600330 25.301992 4.621247 0.498143 -1.037413 0.041499 0.5645 0.7263 0.3571 3.230015 3.258285
2459848 not_connected 100.00% 12.75% 0.00% 0.00% 100.00% 0.00% 40.681405 0.819699 16.472061 18.159127 8.590059 3.189961 -0.937162 -0.255294 0.5432 0.7315 0.3828 3.799077 3.132232
2459847 not_connected 100.00% 16.11% 0.00% 0.00% 100.00% 0.00% 43.057561 0.506269 15.517921 17.283599 8.207806 3.877039 0.658783 -0.955846 0.5156 0.6575 0.3949 2.748276 2.478284
2459846 not_connected 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 35.644619 6.379568 10.571478 14.335699 14.940228 7.876759 1.186101 -0.529771 0.6372 0.6371 0.3717 1.572709 1.797315
2459845 not_connected 100.00% 2.21% 0.00% 0.00% 100.00% 0.00% 46.929114 1.328376 20.842908 23.773703 5.653696 1.046493 0.502191 -1.474708 0.5746 0.7347 0.3595 0.000000 0.000000
2459844 not_connected 100.00% 100.00% 100.00% 0.00% - - 1.934561 0.251785 66.212188 64.427461 2.694056 2.966033 1.401476 2.287592 0.0443 0.0573 0.0176 nan nan
2459843 not_connected 100.00% 1.75% 0.66% 0.00% 100.00% 0.00% 22.571245 7.598276 16.576853 17.367270 5.032624 7.420442 -0.884770 -2.947332 0.6004 0.7196 0.3709 3.279019 3.606941
2459842 not_connected 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 10.978673 0.262219 -0.756236 -1.065072 -1.161207 -2.583017 -0.244257 -1.618291 0.5722 0.6297 0.2107 4.380152 3.124631
2459841 not_connected 100.00% 100.00% 100.00% 0.00% - - 35.332179 29.317593 54.816724 53.257811 33.795094 30.839767 7.578789 9.854823 0.0603 0.0689 0.0307 nan nan

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

In [11]:
htmls_to_display = []
for am_html in auto_metric_htmls:
    html_to_display = ''
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line:
            htmls_to_display.append(html_to_display)
            break

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.

In [12]:
for i, html_to_display in enumerate(htmls_to_display):
    if i == 100:
        break
    display(HTML(html_to_display))

Antenna 78: 2459871

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
78 N06 not_connected ee Shape 40.236402 0.514694 40.236402 22.787346 16.973853 3.963673 10.516640 0.988490 0.104362

Antenna 78: 2459870

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
78 N06 not_connected ee Shape 64.253286 64.253286 1.364784 12.507944 16.524392 7.179657 2.724127 -0.433664 2.168139

Antenna 78: 2459869

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
78 N06 not_connected ee Shape 51.842239 51.842239 1.176483 12.287622 16.094443 8.969338 3.566012 1.700402 2.591477

Antenna 78: 2459868

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
78 N06 not_connected ee Shape 59.970547 59.970547 1.523328 19.131307 25.796779 6.244468 2.386340 2.354195 -0.289606

Antenna 78: 2459867

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
78 N06 not_connected ee Shape nan nan nan inf inf nan nan nan nan

Antenna 78: 2459866

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
78 N06 not_connected ee Shape 47.958885 0.820108 47.958885 18.637322 14.359641 0.658091 5.393010 -0.973881 0.328302

Antenna 78: 2459865

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
78 N06 not_connected ee Shape 53.474007 53.474007 2.021570 19.454424 24.712108 10.314455 2.634704 7.687408 4.152159

Antenna 78: 2459864

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
78 N06 not_connected ee Shape 66.723449 1.178679 66.723449 12.207980 10.125732 1.727024 5.286170 -0.024778 0.473369

Antenna 78: 2459863

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
78 N06 not_connected ee Shape 43.873754 43.873754 -0.832625 -0.277321 0.097401 2.844861 -1.249903 0.650343 -0.734166

Antenna 78: 2459862

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
78 N06 not_connected ee Shape 44.982962 44.982962 -0.106306 12.763805 14.692284 6.548921 2.694833 0.440771 -0.513407

Antenna 78: 2459861

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
78 N06 not_connected ee Shape 32.848785 -1.033042 32.848785 -1.182018 -1.137934 -1.747924 0.698423 -0.860206 -0.616144

Antenna 78: 2459860

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
78 N06 not_connected ee Shape nan nan nan inf inf nan nan nan nan

Antenna 78: 2459859

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
78 N06 not_connected ee Shape 28.412730 28.412730 -1.018334 -1.059899 -1.154176 0.441769 -1.377441 -0.058704 -0.223161

Antenna 78: 2459858

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
78 N06 not_connected ee Shape 31.701631 -1.254080 31.701631 -1.549288 -1.528550 -1.394642 0.705898 -0.520262 -0.592421

Antenna 78: 2459857

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
78 N06 not_connected ee Power 2.826262 -0.466261 -0.370914 2.773593 2.826262 0.189710 0.464574 -0.414030 -1.088132

Antenna 78: 2459856

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
78 N06 not_connected ee Shape 42.756287 42.756287 0.203658 9.163743 10.617774 3.519773 0.944081 -0.822421 0.221419

Antenna 78: 2459855

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
78 N06 not_connected ee Shape 50.691512 0.312469 50.691512 11.967162 10.401613 0.184292 1.388470 -0.486014 -0.517856

Antenna 78: 2459854

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
78 N06 not_connected ee Shape 52.528935 0.132364 52.528935 10.440514 9.207117 0.028097 1.445285 0.136106 -0.584081

Antenna 78: 2459853

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
78 N06 not_connected ee Shape 36.821053 0.124927 36.821053 13.421777 11.672415 0.823653 4.182604 -0.143664 -0.114445

Antenna 78: 2459852

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
78 N06 not_connected ee Shape 21.127065 21.127065 2.182967 10.547545 13.337223 8.089456 5.751043 8.489643 9.991319

Antenna 78: 2459851

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
78 N06 not_connected ee Shape 32.101732 32.101732 3.290501 13.156302 14.152944 10.881534 13.469416 4.689941 11.691461

Antenna 78: 2459850

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
78 N06 not_connected ee Shape 37.566240 37.566240 0.607696 11.135638 12.455829 5.900964 3.279892 -0.295260 5.914976

Antenna 78: 2459849

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
78 N06 not_connected ee Shape 41.600329 41.600329 0.774444 22.600330 25.301992 4.621247 0.498143 -1.037413 0.041499

Antenna 78: 2459848

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
78 N06 not_connected ee Shape 40.681405 0.819699 40.681405 18.159127 16.472061 3.189961 8.590059 -0.255294 -0.937162

Antenna 78: 2459847

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
78 N06 not_connected ee Shape 43.057561 0.506269 43.057561 17.283599 15.517921 3.877039 8.207806 -0.955846 0.658783

Antenna 78: 2459846

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
78 N06 not_connected ee Shape 35.644619 35.644619 6.379568 10.571478 14.335699 14.940228 7.876759 1.186101 -0.529771

Antenna 78: 2459845

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
78 N06 not_connected ee Shape 46.929114 1.328376 46.929114 23.773703 20.842908 1.046493 5.653696 -1.474708 0.502191

Antenna 78: 2459844

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
78 N06 not_connected ee Power 66.212188 1.934561 0.251785 66.212188 64.427461 2.694056 2.966033 1.401476 2.287592

Antenna 78: 2459843

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
78 N06 not_connected ee Shape 22.571245 7.598276 22.571245 17.367270 16.576853 7.420442 5.032624 -2.947332 -0.884770

Antenna 78: 2459842

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
78 N06 not_connected ee Shape 10.978673 10.978673 0.262219 -0.756236 -1.065072 -1.161207 -2.583017 -0.244257 -1.618291

Antenna 78: 2459841

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
78 N06 not_connected ee Power 54.816724 35.332179 29.317593 54.816724 53.257811 33.795094 30.839767 7.578789 9.854823
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